Project Score database: a resource that will help designing the next generation of anti-cancer drugs
26 October 2020
Project Score database: a resource that will help designing the next generation of anti-cancer drugs
A new paper published by Nuclear Acids Research and co-authored by Francesco Iorio, Group Leader at the Centre for Computational Biology, describes the creation of Project Score: a web portal enabling users to estimate the potential of each gene as a therapeutic target of future anti-cancer drugs.
Project Score, created and maintained by the group of Mathew Garnett at the Wellcome Sanger Institute, allows to browse data, download free datasets, and investigate specific biological hypotheses. For example, by specifying the name of any gene, the system will offer additional information on the gene’s target-priority score, potential biomarkers and tractability, including whether there are already drugs available to inhibit the corresponding coded protein.
The data underlying this resource has been made available thanks to CRISPR Cas9 whole-genome drop out screens which allow to better understand gene function and identify dependencies in cancer cells. The system is based on a computational pipeline developed by Francesco Iorio, Fiona Behan and Mathew Garnett and data described in a paper published last year in Nature, as part of the Cancer Dependency Map initiative.
Human Technopole is opening its National Facilities, providing advanced equipment and technologies accessible through calls for proposals open to the Italian scientific community. Projects will be selected by a commission of international experts. Scientists will have access to five new dedicated facilities, which act as catalysts for open innovation in the life sciences sector, crucial for research and the health of Italians.
An international team of scientists led by HT researchers Magda Bienko and Nicola Crosetto developed an open-source software for deconvolution of widefield fluorescence microscopy image stacks and large tissue scans. This new tool increases the information obtained with fluorescence microscopy-based spatial omic methods.
HT researchers are part of an international team of scientists that discovered genetic clues to the cause of restless leg syndrome, a condition common among older adults. The finding could help identify those individuals at greatest risk of the condition and point to potential ways to treat it.
Human Technopole (HT) is glad to announce the availability of 4 new fully funded PhD positions in the fields of Health Data Science, Population and Medical Genomics and Computational Biology. These positions aim to attract highly motivated graduates with strong academic backgrounds who are interested in cutting-edge research in data science.
Human Technopole is offering up to 19 fully funded PhD scholarships to young scientists from the national and international community who wish to undertake a doctoral degree on a project focused on Computational Biology, Structural Biology, Genomics, Neurogenomics or Biophysical modelling.
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